如果你不介意安装一个库，你可以使用tenacity（github.com/jd/tenacity）模块。他们的一个例子：

import random
from tenacity import retry, stop_after_attempt
# @retry  # retry forever
@retry(stop=stop_after_attempt(3))
def do_something_unreliable():
    if random.randint(0, 10) > 1:
        raise IOError("Broken sauce, everything is hosed!!!111one")
    else:
        return "Awesome sauce!"
print(do_something_unreliable())

这也允许你指定你想要保持重试的尝试次数或秒数。
对于您的情况，这可能看起来像这样（未测试！）：

@retry(stop=stop_after_attempt(3))
def retry_get():
    result = requests.get(
            url, auth=HTTPBasicAuth(COMMON_USERNAME, COMMON_PASSWORD)).json()
    if 'error' not in result:
        raise RequestException(result)

您可以使用这样的装饰器并处理自己的异常。

def retry(times, exceptions):
    """
    Retry Decorator
    Retries the wrapped function/method `times` times if the exceptions listed
    in ``exceptions`` are thrown
    :param times: The number of times to repeat the wrapped function/method
    :type times: Int
    :param Exceptions: Lists of exceptions that trigger a retry attempt
    :type Exceptions: Tuple of Exceptions
    """
    def decorator(func):
        def newfn(*args, **kwargs):
            attempt = 0
            while attempt < times:
                try:
                    return func(*args, **kwargs)
                except exceptions:
                    print(
                        'Exception thrown when attempting to run %s, attempt '
                        '%d of %d' % (func, attempt, times)
                    )
                    attempt += 1
            return func(*args, **kwargs)
        return newfn
    return decorator
@retry(times=3, exceptions=(ValueError, TypeError))
def foo1():
    print('Some code here ....')
    print('Oh no, we have exception')
    raise ValueError('Some error')
foo1()

第三方retry module是用于此目的的选项。您还可以传递要重试的异常列表、重试次数、延迟、最大延迟、指数回退等。

$ pip install retry

示例用法：

from retry import retry
@retry(ZeroDivisionError, tries=3, delay=2)
def make_trouble():
    '''Retry on ZeroDivisionError, raise error after 3 attempts, sleep 2 seconds between attempts.'''

生产级示例

import logging
import time
import functools
import traceback
LOG_FORMAT = "%(asctime)s - %(levelname)s - %(pathname)s - %(funcName)s - %(lineno)d -msg: %(message)s"
logging.basicConfig(level=logging.INFO, format=LOG_FORMAT)
def retry(retry_num, retry_sleep_sec):
    """
    retry help decorator.
    :param retry_num: the retry num; retry sleep sec
    :return: decorator
    """
    def decorator(func):
        """decorator"""
        # preserve information about the original function, or the func name will be "wrapper" not "func"
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            """wrapper"""
            for attempt in range(retry_num):
                try:
                    return func(*args, **kwargs)  # should return the raw function's return value
                except Exception as err:   # pylint: disable=broad-except
                    logging.error(err)
                    logging.error(traceback.format_exc())
                    time.sleep(retry_sleep_sec)
                logging.error("Trying attempt %s of %s.", attempt + 1, retry_num)
            logging.error("func %s retry failed", func)
            raise Exception('Exceed max retry num: {} failed'.format(retry_num))
        return wrapper
    return decorator

用法

# this means try your function 5 times, each time sleep 60 seconds
@retry(5, 60)
def your_func():
    pass

正式参考：https://peps.python.org/pep-0318/

我推荐使用retry库，就像@MohitC提到的那样。但是，如果你像我一样被限制导入第三方库，欢迎你尝试我的版本：

import time
def retry(tries= -1, delay=0, max_delay=None, backoff=1, exceptions=Exception, log=False):
    """Retry Decorator with arguments
    Args:
        tries (int): The maximum number of attempts. Defaults to -1 (infinite)
        delay (int, optional): Delay between attempts (seconds). Defaults to 0
        max_delay (int, optional): The maximum value of delay (seconds). Defaults to None (Unlimited)
        backoff (int, optional): Multiplier applied to delay between attempts (seconds). Defaults to 1 (No backoff)
        exceptions (tuple, optional): Types of exceptions to catch. Defaults to Exception (all)
        log (bool, optional): Print debug logs. Defaults to False
    """
    def retry_decorator(func):
        def retry_wrapper(*args, **kwargs):
            nonlocal tries, delay, max_delay, backoff, exceptions, log
            while tries:
                try:
                    return func(*args, **kwargs)
                except exceptions:
                    tries -= 1
                    # Reached to maximum tries
                    if not tries:
                        raise
                    
                    # Log the retry logs for the given function
                    if log:
                        print(f"Retrying {func.__name__} in {delay} seconds")
                    # Apply delay between requests
                    time.sleep(delay)
                    # Adjust the next delay according to backoff
                    delay *= backoff
                    # Adjust maximum delay duration
                    if max_delay is not None:
                        delay = min(delay, max_delay)
        return retry_wrapper
    return retry_decorator

使用示例：

很简单：

@retry(10, delay=5)
    def do_something(params):
        # Example func to retry
        pass

高级：

@retry(10, delay=1, backoff=2, max_delay=10, exceptions=(TimeoutError), log=True)
    def do_something(params):
        # Example func to retry only for TimeoutErrors
        pass

与其使用装饰器，可能更好的解决方案是将请求移动到它自己的函数中，得到类似于下面的结构：

no_of_retries = 3
def make_request(url):
    for i in range(0,no_of_retries):
        try:
            result = requests.get(url, auth=HTTPBasicAuth(COMMON_USERNAME, COMMON_PASSWORD)).json()
            if 'error' not in result:
                return result
            else:
                continue
        except Exception as e:
            continue
    return result
def check_status():
    result = make_request("http://something/status")
def load_file():
    result = make_request("http://something/file")

这样，在封装请求时可以避免重复代码。如果你要使用装饰器，你需要 Package 整个load_file()方法，这将阻止你在这个函数中进一步处理请求的结果。

我创建了一个自定义重试函数。如果第一个数字小于第二个数字，则该函数将重试。

验证码：

import time
# CUSTOM EXCEPTION
class custom_error(Exception):
    pass
# RETRY FUNCTION.
def retry(func, retries=3):
    print(func)
    def retry_wrapper(*args, **kwargs):
        print(args)
        n = args[0]
        u = args[1]
        print(n, u)
        attempts = 0
        while attempts < retries:
            try:
                if n > u:
                    return func(*args, **kwargs)
                else:
                    raise custom_error
            except custom_error:
                print("error")
                time.sleep(2)
                attempts += 1
    return retry_wrapper
@retry
def akash(a, b):
    c = a / b
    return c
# CALLING THE FUNCTION
a = akash(1, 2)
print(a)

输出：

<function akash at 0x00000187C3A66B00>
(1, 2)
1 2
error
error
error

在mrkiril的答案上使用functools：

from functools import wraps, partial
def retry(f=None, times=10):
    if f is None:
        return partial(retry, times=times)
    @wraps(f)
    def wrap(*args, **kwargs):
        attempt = 0
        while attempt < times:
            try:
                return f(*args, **kwargs)
            except:
                print(f"{f.__name__}, attempt {attempt} of {times}")
                attempt += 1
        return f(*args, **kwargs)
    return wrap

然后，像下面这样 Package 你的函数：

import random
@retry
def foo():
    if random.randint(0, 5) != 0:
        raise Exception